TY - JOUR
T1 - Temporal Features of Muscle Synergies in Sit-to-Stand Motion Reflect the Motor Impairment of Post-Stroke Patients
AU - Yang, Ningjia
AU - An, Qi
AU - Kogami, Hiroki
AU - Yamakawa, Hiroshi
AU - Tamura, Yusuke
AU - Takahashi, Kouji
AU - Kinomoto, Makoto
AU - Yamasaki, Hiroshi
AU - Itkonen, Matti
AU - Shibata-Alnajjar, Fady
AU - Shimoda, Shingo
AU - Hattori, Noriaki
AU - Fujii, Takanori
AU - Otomune, Hironori
AU - Miyai, Ichiro
AU - Yamashita, Atsushi
AU - Asama, Hajime
N1 - Publisher Copyright:
© 2001-2011 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Sit-to-stand (STS) motion is an important daily activity, and many post-stroke patients have difficulty performing STS motion. Previous studies found that there are four muscle synergies (synchronized muscle activations) in the STS motion of healthy adults. However, for post-stroke patients, it is unclear whether muscle synergies change and which features primarily reflect motor impairment. Here, we use a machine learning method to demonstrate that temporal features in two muscle synergies that contribute to hip rising and balance maintenance motion reflect the motor impairment of post-stroke patients. Analyzing the muscle synergies of age-matched healthy elderly people ( $n = 12$ ) and post-stroke patients ( $n = 33$ ), we found that the same four muscle synergies could account for the muscle activity of post-stroke patients. Also, we were able to distinguish post-stroke patients from healthy people on the basis of the temporal features of these muscle synergies. Furthermore, these temporal features were found to correlate with motor impairment of post-stroke patients. We conclude that post-stroke patients can still utilize the same number of muscle synergies as healthy people, but the temporal structure of muscle synergies changes as a result of motor impairment. This could lead to a new rehabilitation strategy for post-stroke patients that focuses on activation timing of muscle synergies.
AB - Sit-to-stand (STS) motion is an important daily activity, and many post-stroke patients have difficulty performing STS motion. Previous studies found that there are four muscle synergies (synchronized muscle activations) in the STS motion of healthy adults. However, for post-stroke patients, it is unclear whether muscle synergies change and which features primarily reflect motor impairment. Here, we use a machine learning method to demonstrate that temporal features in two muscle synergies that contribute to hip rising and balance maintenance motion reflect the motor impairment of post-stroke patients. Analyzing the muscle synergies of age-matched healthy elderly people ( $n = 12$ ) and post-stroke patients ( $n = 33$ ), we found that the same four muscle synergies could account for the muscle activity of post-stroke patients. Also, we were able to distinguish post-stroke patients from healthy people on the basis of the temporal features of these muscle synergies. Furthermore, these temporal features were found to correlate with motor impairment of post-stroke patients. We conclude that post-stroke patients can still utilize the same number of muscle synergies as healthy people, but the temporal structure of muscle synergies changes as a result of motor impairment. This could lead to a new rehabilitation strategy for post-stroke patients that focuses on activation timing of muscle synergies.
KW - Muscle synergy
KW - post-stroke
KW - random forest
KW - rehabilitation
KW - sit-to-stand
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U2 - 10.1109/TNSRE.2019.2939193
DO - 10.1109/TNSRE.2019.2939193
M3 - Article
C2 - 31494552
AN - SCOPUS:85073668493
SN - 1534-4320
VL - 27
SP - 2118
EP - 2127
JO - IEEE Transactions on Neural Systems and Rehabilitation Engineering
JF - IEEE Transactions on Neural Systems and Rehabilitation Engineering
IS - 10
M1 - 8823953
ER -